A review of neuroimaging-driven brain age estimation for identification of brain disorders and health conditions

S Mishra, I Beheshti, P Khanna - IEEE Reviews in Biomedical …, 2021 - ieeexplore.ieee.org
… to a single value called “estimated brain age.” Deviation of this estimated value from an …
In this work, a multivariate model of neuroanatomical brain maturation was formed to quantify …

Maternal depressive symptoms during pregnancy and brain age in young adult offspring: findings from a prenatal birth cohort

K Mareckova, R Marecek, L Andryskova… - Cerebral …, 2020 - academic.oup.com
brain age independently of chronological age. Discrepancies between structural and
chronological brain age are often referred to as an individual’s brain age … faster brain maturation in …

Brain age prediction using deep learning uncovers associated sequence variants

BA Jónsson, G Bjornsdottir, TE Thorgeirsson… - Nature …, 2019 - nature.com
… To account for factors such as scanner type and sex that can affect the estimated brain age
of an individual we include them as inputs in the linear regression by concatenating them …

Large-scale structural covariance networks predict age in middle-to-late adulthood: a novel brain aging biomarker

CY Kuo, PL Lee, SC Hung, LK Liu, WJ Lee… - Cerebral …, 2020 - academic.oup.com
… ’s ability to predict individual brain age in a large sample of middle… SCNs could predict
individual brain age, balancing between … or synchronized maturation across distinct brain areas, in …

Investigating brain aging trajectory deviations in different brain regions of individuals with schizophrenia using multimodal magnetic resonance imaging and brain-age …

JD Zhu, YF Wu, SJ Tsai, CP Lin, AC Yang - Translational Psychiatry, 2023 - nature.com
individuals with schizophrenia tend to have a brain age that is older than their chronological
age. However, this observation has been based on brain-age … the development of brain-age

Brain age prediction with morphological features using deep neural networks: Results from predictive analytic competition 2019

A Lombardi, A Monaco, G Donvito, N Amoroso… - Frontiers in …, 2021 - frontiersin.org
… in brain structure characterization and brain age prediction … 2019 for brain age prediction of
2638 healthy individuals. We … have been used for studying brain development and aging (67)…

[HTML][HTML] Development of Efficient Brain Age Estimation Method Based on Regional Brain Volume From Structural Magnetic Resonance Imaging

S Kim, SM Wang, DW Kang, YH Um, H Yang… - Psychiatry …, 2024 - ncbi.nlm.nih.gov
… , which can determine the individual trajectory of brain maturation and aging have been …
quickly and accurately predict brain age reflecting the individual’s cognitive state using the …

Gender-specific impact of personal health parameters on individual brain aging in cognitively unimpaired elderly subjects

K Franke, M Ristow, C Gaser… - Frontiers in aging …, 2014 - frontiersin.org
… whole brain to one single value, ie, the estimated brain age. … reveal the individual brain age
gap estimation (BrainAGE) … , although brain maturation in childhood as well as brain aging …

[HTML][HTML] Longitudinal trajectories of brain age in young individuals at familial risk of mood disorder from the Scottish Bipolar Family Study

L De Nooij, MA Harris, EL Hawkins… - Wellcome open …, 2019 - ncbi.nlm.nih.gov
… based on the brain age predictions for the … brain maturation trajectories Since the objective
of this study was to investigate deviation of brain maturation trajectories in young individuals

Diffusion deep learning for brain age prediction and longitudinal tracking in children through adulthood

A Zapaishchykova, D Tak, Z Ye, KX Liu… - Imaging …, 2024 - direct.mit.edu
brain age and actual chronological age (ie “brain age gap”) may yield insights into how various
external and internal factors affect brain development … be suitable for individual brain age